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Titlebook: Urban Informatics Using Mobile Network Data; Travel Behavior Rese Santi Phithakkitnukoon Book 2023 The Editor(s) (if applicable) and The Au

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发表于 2025-3-21 19:09:07 | 显示全部楼层 |阅读模式
书目名称Urban Informatics Using Mobile Network Data
副标题Travel Behavior Rese
编辑Santi Phithakkitnukoon
视频video
概述Discusses the role of mobile network data in urban informatics, particularly how it is utilized in the mobility context.Assesses the extent to which mobile network data reflects travel behavior and pr
图书封面Titlebook: Urban Informatics Using Mobile Network Data; Travel Behavior Rese Santi Phithakkitnukoon Book 2023 The Editor(s) (if applicable) and The Au
描述This book discusses the role of mobile network data in urban informatics, particularly how mobile network data is utilized in the mobility context, where approaches, models, and systems are developed for understanding travel behavior. The objectives of this book are thus to evaluate the extent to which mobile network data reflects travel behavior and to develop guidelines on how to best use such data to understand and model travel behavior. To achieve these objectives, the book attempts to evaluate the strengths and weaknesses of this data source for urban informatics and its applicability to the development and implementation of travel behavior models through a series of the authors’ research studies..Traditionally, survey-based information is used as an input for travel demand models that predict future travel behavior and transportation needs. A survey-based approach is however costly and time-consuming, and hence its information can be dated and limited to aparticular region. Mobile network data thus emerges as a promising alternative data source that is massive in both cross-sectional and longitudinal perspectives, and one that provides both broader geographic coverage of trav
出版日期Book 2023
关键词Urban informatics; Mobile network data; Travel behavior research; Data science application; Data-driven
版次1
doihttps://doi.org/10.1007/978-981-19-6714-6
isbn_softcover978-981-19-6716-0
isbn_ebook978-981-19-6714-6
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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发表于 2025-3-22 00:12:28 | 显示全部楼层
The Overview of Mobile Network Data-Driven Urban Informatics,an outline of the book’s structure and scope. It discusses traditional methods in understanding travel behavior i.e., survey-based approach. A surveyed information is used as an input for travel demand models that predict future travel behavior and transportation needs from the current travel behavi
发表于 2025-3-22 01:43:31 | 显示全部楼层
Inferring Passenger Travel Demand Using Mobile Phone CDR Data,me, a lack of infrastructure which include railways, airways and roads. People’s mobility in these African nations is mostly provided by bus services and a large-scale informal public transportation system known as paratransit (for example, car rapides in Senegal, Tro Tros in Ghana, taxis in Uganda
发表于 2025-3-22 04:41:01 | 显示全部楼层
发表于 2025-3-22 12:21:19 | 显示全部楼层
Inferring and Modeling Migration Flows Using Mobile Phone CDR Data, flows and forecasting future patterns. Over time, less study has been done on modeling migration flows than has been done on modeling other types of flows, such as commutes. One of the biggest hurdles to empirical analysis and theoretical developments in the modeling of migration flows has been a l
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发表于 2025-3-23 00:58:27 | 显示全部楼层
,Analysis of Weather Effects on People’s Daily Activity Patterns Using Mobile Phone GPS Data,ature, rainfall, and wind speed are among the weather variables considered in our case study discussed in this chapter. We describe a method for inferring people’s daily activity patterns, including the places they visit and when they do so, as well as the duration of the visit, based on GPS positio
发表于 2025-3-23 04:48:09 | 显示全部楼层
Analysis of Tourist Behavior Using Mobile Phone GPS Data,y of mobile phone users in Japan. It deliberates on how enormous mobile phone GPS location records can be utilized in analyzing tourist travel behavior through a number of proxies, including the number of trips made, time spent at places, and mode of transportation used. Furthermore, this chapter ex
发表于 2025-3-23 09:12:46 | 显示全部楼层
An Outlook for Future Mobile Network Data-Driven Urban Informatics,scusses a dynamic characteristic of mobile network data that continues to change its properties and potential values with the technological advancement, which in turn poses new challenges and exciting research opportunities. This may include new paradigms for data collection as an alternative to the
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